Showing 4 open source projects for "optimize"

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  • 1
    Peroxide

    Peroxide

    Rust numeric library with high performance and friendly syntax

    Rust numeric library contains linear algebra, numerical analysis, statistics and machine learning tools with R, MATLAB, Python-like macros. Peroxide uses a 1D data structure to represent matrices, making it straightforward to integrate with BLAS (Basic Linear Algebra Subprograms). This means that Peroxide can guarantee excellent performance for linear algebraic computations by leveraging the optimized routines provided by BLAS. For users familiar with numerical computing libraries like...
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  • 2
    TMC compiler

    TMC compiler

    Translator from restricted matlab to C

    Open-source tool to convert/port/migrate/optimize Octave/MATLAB(R) written projects to C-code. Consists of C-code generator and run-time support library. Support a subset of MATLAB (R) language and an extendable set of in-build functions. Git Repository: https://github.com/csafonov/tinymc
    Downloads: 0 This Week
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  • 3

    Enhanced Stable Election Protocol- SEP-E

    An enhanced stable election protocol for wireless sensor network

    While wireless sensor networks are increasingly equipped to handle more complex functions, in-network processing may require these battery powered sensors to judiciously use their constrained energy to prolong the effective network life time especially in a heterogeneous settings. Clustered techniques have since been employed to optimize energy consumption in this energy constrained wireless sensor networks. We propose an Enhanced-SEP clustering algorithm in a three-tier node scenario to prolong the e ffective network life-time. Simulation results shows that the Enhanced-SEP protocol achieves better performance in this respect, compared to other existing clustering algorithms such as LEACH and SEP in both heterogeneous and homogenous environments.
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  • 4

    Tycho

    Tycho is a MATLAB package for mission analysis and ADCS applications

    ...b) a perturbations toolbox that allows to numerically assess the effect of arbitrary perturbations by integrating Gauss equations. Atmospheric drag, Sun pressure and J2 gravity potential are implemented. c) a rendez-vous and docking module that uses Clohessy-Wiltshire equations to optimize rendez-vous and docking maneuvers, assess the effect of the target's gravity field and analyze the effect of position and velocity uncertanties. d) a Simulink ADCS simulator with a focus on control law design.
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